RESEARCH HIGHLIGHTS
Artificial Intelligence Expedites
Breast Cancer Risk Prediction by Patricia Akinfenwa
Stephen T. Wong, Ph.D.
Jenny C. Chang, M.D.
Tejal Patel, M.D.
Researchers at Houston Methodist have developed an artificial intelligence (AI) software that reliably interprets mammograms, assisting doctors with a quick and accurate prediction of breast cancer risk. According to a new study published in Cancer, the computer software intuitively translates patient charts into diagnostic information at 30 times human speed and with 99 percent accuracy. The team led by Stephen T. Wong, Ph.D., P.E., John S. Dunn, Sr. Presidential Distinguished Chair in Biomedical Engineering at the Houston Methodist Research Institute, and Jenny C. Chang, M.D., Emily Herrmann Chair in Cancer Research and director of the Houston Methodist Cancer Center, used the AI software to evaluate mammograms and pathology reports of 500 breast cancer patients. The software scanned patient charts, collected diagnostic features and correlated mammogram findings with breast cancer subtype. Clinicians used results, like the expression of tumor proteins, to accurately predict each patient’s probability of breast cancer diagnosis.
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